3 citations · 7 across the 6 of their papers we have counts for
7 papers
ResBench: A Comprehensive Framework for Evaluating Database Resilience
Puyun Hu, Wei Pan, Xun Jian +6
Existing database benchmarks primarily focus on performance under ideal running environments. However, in real-world scenarios, databases probably face numerous adverse events. Qua…
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di, Haoyang Li +3
Node classification is a key task in temporal graph learning (TGL). Real-life temporal graphs often introduce new node classes over time, but existing TGL methods assume a fixed se…
DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs
Xun Jian, Yue Wang, Xiayu Lei +2
Subgraph listing is a fundamental problem in graph theory and has wide applications in areas like sociology, chemistry, and social networks. Modern graphs can usually be large-scal…
On Efficiently Detecting Overlapping Communities over Distributed Dynamic Graphs
Xun Jian, Xiang Lian, Lei Chen
Modern networks are of huge sizes as well as high dynamics, which challenges the efficiency of community detection algorithms. In this paper, we study the problem of overlapping co…
An Efficient Probabilistic Approach for Graph Similarity Search
Zijian Li, Xun Jian, Xiang Lian +1
Graph similarity search is a common and fundamental operation in graph databases. One of the most popular graph similarity measures is the Graph Edit Distance (GED) mainly because…
FROG: A Fast and Reliable Crowdsourcing Framework (Technical Report)
Peng Cheng, Xiang Lian, Xun Jian +1
For decades, the crowdsourcing has gained much attention from both academia and industry, which outsources a number of tasks to human workers. Existing works considered improving t…
Task Assignment on Spatial Crowdsourcing [Experiments and Analyses] (Technical Report)
Peng Cheng, Xun Jian, Lei Chen
Recently, with the rapid development of mobile devices and the crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community. Specific…